head to head · open source
Airbyte vs docetl
Airbyte has 22,303 GitHub stars, 5,431 forks, 2,395 open issues and last shipped yesterday. docetl has 4,189 stars, 460 forks, 45 open issues and last shipped 4 days ago. Airbyte leads on adoption by 432% (22,303 vs 4,189 stars). Airbyte is written in Python under a custom or non-standard licence; docetl is written in Python under MIT. Airbyte has attracted 24% as many forks as stars, docetl 11%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (data, elt, etl), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Airbyte | docetl | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 4.2K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 5.4K | ⑂ 460 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Airbyte if
- You weight community size — 22K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick docetl if
- You want the docetl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and docetl fits your workflow better
About Airbyte
Open source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications We believe that only an open source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination — whether that destination is a data warehouse, a data lake, or an AI agent. Airbyte provides a catalog of 600+ connectors for APIs, databases, data warehouses, data lakes, and AI applications. Screenshot taken from Airbyte Cloud . Pick the…
read the full Airbyte overview →
About docetl
DocETL: Declarative & Agentic Map Reduce What is DocETL · Install · Python API · YAML · DocWrangler UI · Docs What is DocETL DocETL helps you process large collections of data (structured and unstructured) with LLMs. You write each operation in natural language, e.g., "pull out every complaint in this ticket," and DocETL provides the operators you need (map, reduce, filter, and more) and orchestrates them, parallelizing work across your data, optimizes your pipeline automatically, swapping models, rewriting prompts, decomposing operations, and replacing subtasks with code wherever possible, to raise accuracy and…
read the full docetl overview →
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Frequently asked questions
Is Airbyte or docetl more popular?
Airbyte has 22,303 GitHub stars and docetl has 4,189. Airbyte has the larger community by that measure.
Are Airbyte and docetl free?
Both are open source. Airbyte has no licence declared in this registry, and docetl is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and docetl?
Airbyte is written in Python and docetl in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Airbyte or docetl?
Choose Airbyte if you want the larger community (22,303 stars) or its Custom / other licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.